A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors
Pulmonary neuroendocrine tumors (pNETs) are difficult to classify. We performed a population-based analysis to investigate the application of pNET nomenclature in daily pathology practice. Conclusions from pathology reports (2003–2012) describing carcinoids, (large cell) neuroendocrine carcinomas (N...
Gespeichert in:
| Veröffentlicht in: | Journal of thoracic oncology 2016-04, Vol.11 (4), p.593-602 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 602 |
|---|---|
| container_issue | 4 |
| container_start_page | 593 |
| container_title | Journal of thoracic oncology |
| container_volume | 11 |
| creator | Derks, Jules L. van Suylen, Robert Jan Thunnissen, Erik den Bakker, Michael A. Smit, Egbert F. Groen, Harry J.M. Speel, Ernst J.M. Dingemans, Anne-Marie C. |
| description | Pulmonary neuroendocrine tumors (pNETs) are difficult to classify. We performed a population-based analysis to investigate the application of pNET nomenclature in daily pathology practice.
Conclusions from pathology reports (2003–2012) describing carcinoids, (large cell) neuroendocrine carcinomas (NECs), and carcinomas with neuroendocrine features/differentiation were retrieved from the Dutch Pathology Registry by queries on location and diagnosis and screened for terminology. Cases with a nonpulmonary or unknown origin and small cell lung cancer were excluded. Diagnoses were clustered into subgroups and the retrieved terminology was compared with the 2015 World Health Organization (WHO) diagnoses. By means of an online questionnaire, interpretation of the non-WHO nomenclature retrieved from pathology reports was evaluated (by 35 physicians and 19 pathologists).
A total of 3216 unique pathology report conclusions with 55 different pNET diagnoses (n = 3052) and 20 uncertain diagnoses (n = 164) were analyzed. Non-WHO nomenclature was used in 15% of diagnoses (n = 488). Diagnoses could be clustered into carcinoids (n = 1086), NEC (n = 1316), carcinomas with neuroendocrine features/differentiation (n = 624), and unspecified pNETs (n = 26). Non-WHO nomenclature within these clusters was found for 7% of carcinoids, 20% of NECs, 13% of carcinomas with neuroendocrine features/differentiation, and 100% of unspecified pNETs and was observed more often in conclusions regarding biopsy or cytological specimens (62% and 12%) compared with resection specimens (26%). Analysis of the questionnaire results revealed that 4 of 19 diagnoses based on non-WHO nomenclature were uniformly interpreted (>50% agreement) by physicians, as were 10 of 19 diagnoses by pathologists.
In 15% of pNETs other than small cell lung cancer, a non-WHO nomenclature diagnosis was provided, more frequently on the basis of smaller specimens. The interpretation was different between physicians and pathologists. Application of uniform nomenclature among all clinicians is advocated. |
| doi_str_mv | 10.1016/j.jtho.2015.12.106 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1776629146</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1556086416002823</els_id><sourcerecordid>1776629146</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5116-73387b995b534a4c22fc931c7c75dac17dad3b808cccef476a7328186376937f3</originalsourceid><addsrcrecordid>eNp9kE9v1DAQxS0EoqXwBTggH7lk8b_YjsRlqQpFqtoVKuJoeZ0J68WJg5202m-P0104crDGnnnvafxD6C0lK0qo_LBf7addXDFC6xVlpSefoXNa17KiXJPnpzvRUpyhVznvCRE1EfolOmNSKallfY4e1ngTxznYyceh-mQztHg92HDIPuPY4fU4Bu-epsvzx_Udvo09DK445gTYD3hjyxYh_jzgbzDGND35NnPo42DTAd_CnCIMbXTJD4Dv5z6m_Bq96GzI8OZUL9D3z1f3l9fVzd2Xr5frm8rVlMpKca7Vtmnqbc2FFY6xzjWcOuVU3VpHVWtbvtVEO-egE0paxZmmWnIlG646foHeH3PHFH_PkCfT--wgBDtAnLOhhYNkDRWySNlR6lLMOUFnxuT78gNDiVl4m71ZeJuFt6Gs9BbTu1P-vO2h_Wf5C7gIxFHwGMMEKf8K8yMkswMbpp0hlAmuG1GVTEkEIaQqhy65H482KHAefHFk5wt1aH0CN5k2-v-t9Qe76aH8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1776629146</pqid></control><display><type>article</type><title>A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Derks, Jules L. ; van Suylen, Robert Jan ; Thunnissen, Erik ; den Bakker, Michael A. ; Smit, Egbert F. ; Groen, Harry J.M. ; Speel, Ernst J.M. ; Dingemans, Anne-Marie C.</creator><creatorcontrib>Derks, Jules L. ; van Suylen, Robert Jan ; Thunnissen, Erik ; den Bakker, Michael A. ; Smit, Egbert F. ; Groen, Harry J.M. ; Speel, Ernst J.M. ; Dingemans, Anne-Marie C.</creatorcontrib><description>Pulmonary neuroendocrine tumors (pNETs) are difficult to classify. We performed a population-based analysis to investigate the application of pNET nomenclature in daily pathology practice.
Conclusions from pathology reports (2003–2012) describing carcinoids, (large cell) neuroendocrine carcinomas (NECs), and carcinomas with neuroendocrine features/differentiation were retrieved from the Dutch Pathology Registry by queries on location and diagnosis and screened for terminology. Cases with a nonpulmonary or unknown origin and small cell lung cancer were excluded. Diagnoses were clustered into subgroups and the retrieved terminology was compared with the 2015 World Health Organization (WHO) diagnoses. By means of an online questionnaire, interpretation of the non-WHO nomenclature retrieved from pathology reports was evaluated (by 35 physicians and 19 pathologists).
A total of 3216 unique pathology report conclusions with 55 different pNET diagnoses (n = 3052) and 20 uncertain diagnoses (n = 164) were analyzed. Non-WHO nomenclature was used in 15% of diagnoses (n = 488). Diagnoses could be clustered into carcinoids (n = 1086), NEC (n = 1316), carcinomas with neuroendocrine features/differentiation (n = 624), and unspecified pNETs (n = 26). Non-WHO nomenclature within these clusters was found for 7% of carcinoids, 20% of NECs, 13% of carcinomas with neuroendocrine features/differentiation, and 100% of unspecified pNETs and was observed more often in conclusions regarding biopsy or cytological specimens (62% and 12%) compared with resection specimens (26%). Analysis of the questionnaire results revealed that 4 of 19 diagnoses based on non-WHO nomenclature were uniformly interpreted (>50% agreement) by physicians, as were 10 of 19 diagnoses by pathologists.
In 15% of pNETs other than small cell lung cancer, a non-WHO nomenclature diagnosis was provided, more frequently on the basis of smaller specimens. The interpretation was different between physicians and pathologists. Application of uniform nomenclature among all clinicians is advocated.</description><identifier>ISSN: 1556-0864</identifier><identifier>EISSN: 1556-1380</identifier><identifier>DOI: 10.1016/j.jtho.2015.12.106</identifier><identifier>PMID: 26776865</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Carcinoids ; Diagnosis ; Humans ; LCNEC ; Lung Neoplasms - pathology ; Medical Oncology - methods ; Neuroendocrine Tumors - pathology ; Nomenclature ; Pathology - methods ; Pulmonary neuroendocrine tumors ; Retrospective Studies ; Surveys and Questionnaires ; Terminology as Topic ; World Health Organization</subject><ispartof>Journal of thoracic oncology, 2016-04, Vol.11 (4), p.593-602</ispartof><rights>2016 International Association for the Study of Lung Cancer</rights><rights>Copyright © 2016 by the International Association for the Study of Lung Cancer</rights><rights>Copyright © 2016 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5116-73387b995b534a4c22fc931c7c75dac17dad3b808cccef476a7328186376937f3</citedby><cites>FETCH-LOGICAL-c5116-73387b995b534a4c22fc931c7c75dac17dad3b808cccef476a7328186376937f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26776865$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Derks, Jules L.</creatorcontrib><creatorcontrib>van Suylen, Robert Jan</creatorcontrib><creatorcontrib>Thunnissen, Erik</creatorcontrib><creatorcontrib>den Bakker, Michael A.</creatorcontrib><creatorcontrib>Smit, Egbert F.</creatorcontrib><creatorcontrib>Groen, Harry J.M.</creatorcontrib><creatorcontrib>Speel, Ernst J.M.</creatorcontrib><creatorcontrib>Dingemans, Anne-Marie C.</creatorcontrib><title>A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors</title><title>Journal of thoracic oncology</title><addtitle>J Thorac Oncol</addtitle><description>Pulmonary neuroendocrine tumors (pNETs) are difficult to classify. We performed a population-based analysis to investigate the application of pNET nomenclature in daily pathology practice.
Conclusions from pathology reports (2003–2012) describing carcinoids, (large cell) neuroendocrine carcinomas (NECs), and carcinomas with neuroendocrine features/differentiation were retrieved from the Dutch Pathology Registry by queries on location and diagnosis and screened for terminology. Cases with a nonpulmonary or unknown origin and small cell lung cancer were excluded. Diagnoses were clustered into subgroups and the retrieved terminology was compared with the 2015 World Health Organization (WHO) diagnoses. By means of an online questionnaire, interpretation of the non-WHO nomenclature retrieved from pathology reports was evaluated (by 35 physicians and 19 pathologists).
A total of 3216 unique pathology report conclusions with 55 different pNET diagnoses (n = 3052) and 20 uncertain diagnoses (n = 164) were analyzed. Non-WHO nomenclature was used in 15% of diagnoses (n = 488). Diagnoses could be clustered into carcinoids (n = 1086), NEC (n = 1316), carcinomas with neuroendocrine features/differentiation (n = 624), and unspecified pNETs (n = 26). Non-WHO nomenclature within these clusters was found for 7% of carcinoids, 20% of NECs, 13% of carcinomas with neuroendocrine features/differentiation, and 100% of unspecified pNETs and was observed more often in conclusions regarding biopsy or cytological specimens (62% and 12%) compared with resection specimens (26%). Analysis of the questionnaire results revealed that 4 of 19 diagnoses based on non-WHO nomenclature were uniformly interpreted (>50% agreement) by physicians, as were 10 of 19 diagnoses by pathologists.
In 15% of pNETs other than small cell lung cancer, a non-WHO nomenclature diagnosis was provided, more frequently on the basis of smaller specimens. The interpretation was different between physicians and pathologists. Application of uniform nomenclature among all clinicians is advocated.</description><subject>Carcinoids</subject><subject>Diagnosis</subject><subject>Humans</subject><subject>LCNEC</subject><subject>Lung Neoplasms - pathology</subject><subject>Medical Oncology - methods</subject><subject>Neuroendocrine Tumors - pathology</subject><subject>Nomenclature</subject><subject>Pathology - methods</subject><subject>Pulmonary neuroendocrine tumors</subject><subject>Retrospective Studies</subject><subject>Surveys and Questionnaires</subject><subject>Terminology as Topic</subject><subject>World Health Organization</subject><issn>1556-0864</issn><issn>1556-1380</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE9v1DAQxS0EoqXwBTggH7lk8b_YjsRlqQpFqtoVKuJoeZ0J68WJg5202m-P0104crDGnnnvafxD6C0lK0qo_LBf7addXDFC6xVlpSefoXNa17KiXJPnpzvRUpyhVznvCRE1EfolOmNSKallfY4e1ngTxznYyceh-mQztHg92HDIPuPY4fU4Bu-epsvzx_Udvo09DK445gTYD3hjyxYh_jzgbzDGND35NnPo42DTAd_CnCIMbXTJD4Dv5z6m_Bq96GzI8OZUL9D3z1f3l9fVzd2Xr5frm8rVlMpKca7Vtmnqbc2FFY6xzjWcOuVU3VpHVWtbvtVEO-egE0paxZmmWnIlG646foHeH3PHFH_PkCfT--wgBDtAnLOhhYNkDRWySNlR6lLMOUFnxuT78gNDiVl4m71ZeJuFt6Gs9BbTu1P-vO2h_Wf5C7gIxFHwGMMEKf8K8yMkswMbpp0hlAmuG1GVTEkEIaQqhy65H482KHAefHFk5wt1aH0CN5k2-v-t9Qe76aH8</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Derks, Jules L.</creator><creator>van Suylen, Robert Jan</creator><creator>Thunnissen, Erik</creator><creator>den Bakker, Michael A.</creator><creator>Smit, Egbert F.</creator><creator>Groen, Harry J.M.</creator><creator>Speel, Ernst J.M.</creator><creator>Dingemans, Anne-Marie C.</creator><general>Elsevier Inc</general><general>Copyright by the International Association for the Study of Lung Cancer</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201604</creationdate><title>A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors</title><author>Derks, Jules L. ; van Suylen, Robert Jan ; Thunnissen, Erik ; den Bakker, Michael A. ; Smit, Egbert F. ; Groen, Harry J.M. ; Speel, Ernst J.M. ; Dingemans, Anne-Marie C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5116-73387b995b534a4c22fc931c7c75dac17dad3b808cccef476a7328186376937f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Carcinoids</topic><topic>Diagnosis</topic><topic>Humans</topic><topic>LCNEC</topic><topic>Lung Neoplasms - pathology</topic><topic>Medical Oncology - methods</topic><topic>Neuroendocrine Tumors - pathology</topic><topic>Nomenclature</topic><topic>Pathology - methods</topic><topic>Pulmonary neuroendocrine tumors</topic><topic>Retrospective Studies</topic><topic>Surveys and Questionnaires</topic><topic>Terminology as Topic</topic><topic>World Health Organization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Derks, Jules L.</creatorcontrib><creatorcontrib>van Suylen, Robert Jan</creatorcontrib><creatorcontrib>Thunnissen, Erik</creatorcontrib><creatorcontrib>den Bakker, Michael A.</creatorcontrib><creatorcontrib>Smit, Egbert F.</creatorcontrib><creatorcontrib>Groen, Harry J.M.</creatorcontrib><creatorcontrib>Speel, Ernst J.M.</creatorcontrib><creatorcontrib>Dingemans, Anne-Marie C.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of thoracic oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Derks, Jules L.</au><au>van Suylen, Robert Jan</au><au>Thunnissen, Erik</au><au>den Bakker, Michael A.</au><au>Smit, Egbert F.</au><au>Groen, Harry J.M.</au><au>Speel, Ernst J.M.</au><au>Dingemans, Anne-Marie C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors</atitle><jtitle>Journal of thoracic oncology</jtitle><addtitle>J Thorac Oncol</addtitle><date>2016-04</date><risdate>2016</risdate><volume>11</volume><issue>4</issue><spage>593</spage><epage>602</epage><pages>593-602</pages><issn>1556-0864</issn><eissn>1556-1380</eissn><abstract>Pulmonary neuroendocrine tumors (pNETs) are difficult to classify. We performed a population-based analysis to investigate the application of pNET nomenclature in daily pathology practice.
Conclusions from pathology reports (2003–2012) describing carcinoids, (large cell) neuroendocrine carcinomas (NECs), and carcinomas with neuroendocrine features/differentiation were retrieved from the Dutch Pathology Registry by queries on location and diagnosis and screened for terminology. Cases with a nonpulmonary or unknown origin and small cell lung cancer were excluded. Diagnoses were clustered into subgroups and the retrieved terminology was compared with the 2015 World Health Organization (WHO) diagnoses. By means of an online questionnaire, interpretation of the non-WHO nomenclature retrieved from pathology reports was evaluated (by 35 physicians and 19 pathologists).
A total of 3216 unique pathology report conclusions with 55 different pNET diagnoses (n = 3052) and 20 uncertain diagnoses (n = 164) were analyzed. Non-WHO nomenclature was used in 15% of diagnoses (n = 488). Diagnoses could be clustered into carcinoids (n = 1086), NEC (n = 1316), carcinomas with neuroendocrine features/differentiation (n = 624), and unspecified pNETs (n = 26). Non-WHO nomenclature within these clusters was found for 7% of carcinoids, 20% of NECs, 13% of carcinomas with neuroendocrine features/differentiation, and 100% of unspecified pNETs and was observed more often in conclusions regarding biopsy or cytological specimens (62% and 12%) compared with resection specimens (26%). Analysis of the questionnaire results revealed that 4 of 19 diagnoses based on non-WHO nomenclature were uniformly interpreted (>50% agreement) by physicians, as were 10 of 19 diagnoses by pathologists.
In 15% of pNETs other than small cell lung cancer, a non-WHO nomenclature diagnosis was provided, more frequently on the basis of smaller specimens. The interpretation was different between physicians and pathologists. Application of uniform nomenclature among all clinicians is advocated.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26776865</pmid><doi>10.1016/j.jtho.2015.12.106</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1556-0864 |
| ispartof | Journal of thoracic oncology, 2016-04, Vol.11 (4), p.593-602 |
| issn | 1556-0864 1556-1380 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1776629146 |
| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Carcinoids Diagnosis Humans LCNEC Lung Neoplasms - pathology Medical Oncology - methods Neuroendocrine Tumors - pathology Nomenclature Pathology - methods Pulmonary neuroendocrine tumors Retrospective Studies Surveys and Questionnaires Terminology as Topic World Health Organization |
| title | A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T01%3A31%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Population-Based%20Analysis%20of%20Application%20of%20WHO%20Nomenclature%20in%20Pathology%20Reports%20of%20Pulmonary%20Neuroendocrine%20Tumors&rft.jtitle=Journal%20of%20thoracic%20oncology&rft.au=Derks,%20Jules%20L.&rft.date=2016-04&rft.volume=11&rft.issue=4&rft.spage=593&rft.epage=602&rft.pages=593-602&rft.issn=1556-0864&rft.eissn=1556-1380&rft_id=info:doi/10.1016/j.jtho.2015.12.106&rft_dat=%3Cproquest_cross%3E1776629146%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1776629146&rft_id=info:pmid/26776865&rft_els_id=S1556086416002823&rfr_iscdi=true |